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IBM has announced that it will begin “infusing” Claude, the family of AI models developed by AI superstar Anthrophic, into some of its software products, including a new “AI-first” coding tool. The move makes IBM the latest large company to partner with Anthropic, with recent examples including Microsoft and Deloitte.
According to a press release, IBM will use Claude to power a new integrated development environment, often referred to as an IDE. These virtual environments are applications that enable software developers to write and edit code outside of their computer terminal, see which files they’re currently working with, and use special tools built within the application. Several startups building AI-powered IDEs, such as Cursor and Windsurf, have rapidly grown due to an explosion of interest in AI-assisted coding, sometimes referred to as “vibe coding.”
IBM’s new Claude-powered IDE is currently available exclusively to select IBM clients. In early testing, the company says, users have reported “productivity gains averaging 45 percent.”
In addition to the IDE, IBM has created a new guide for creating and managing AI agents in the enterprise. The guide, which has been verified by Anthropic, provides businesses with a “purpose-built, enterprise-ready approach for the development, operations and security requirements for Enterprise AI agents.”
Since its launch in 2023, Claude has become a popular AI model for business use cases, and adoption by large enterprises is starting to pick up. Microsoft, which has invested over $10 billion in Anthropic rival OpenAI, announced in late September that it would begin using Claude in its work-focused 365 Copilot platform.
On October 7, Anthropic and consulting giant Deloitte announced a partnership that will make Claude available to all of Deloitte’s 470,000 employees, the AI company’s largest enterprise deployment to date. Anthropic said in a blog post that Deloitte will “establish a Claude Center of Excellence with trained specialists who will develop implementation frameworks, share leading practices across deployments, and provide ongoing technical support to create the systems needed to move AI pilots to production at scale.”
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Ben Sherry
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